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Assessing the Particulate Matter Removal Abilities of Tree Leaves
Published on: October 7, 2018
Rates of particulate pollution deposition onto leaf surfaces: temporal and inter-species magnetic analyses
R Mitchell1, B A Maher, R Kinnersley
1Centre for Environmental Magnetism and Palaeomagnetism, Lancaster Environment Centre, University of Lancaster, Lancaster LA1 4YQ, UK. r.mitchell@lancaster.ac.uk
Environmental Pollution (Barking, Essex : 1987)
|February 2, 2010
Summary
Biomagnetic monitoring of particulate matter (PM(10)) on tree leaves offers high-resolution exposure data. This method enables accurate health impact assessments by quantifying airborne particle concentrations with unprecedented spatial detail.
Area of Science:
- Environmental Science
- Biomonitoring
- Atmospheric Science
Background:
- Evaluating health impacts of inhaled pollutant particles less than 10 micrometers (PM(10)) is crucial.
- Lack of high spatial resolution exposure data hinders identifying causal links between PM(10) exposure and illness.
Purpose of the Study:
- To investigate the potential of biomagnetic monitoring of PM(10) on tree leaves for high spatial resolution exposure assessment.
- To quantify the relationship between leaf magnetic signal and PM(10) mass, and determine exposure time via magnetic deposition velocity (MV(d)).
Main Methods:
- Biomagnetic monitoring of PM(10) deposited on tree leaves.
- Quantification of the relationship between magnetic signal and PM(10) mass.
- Calculation of magnetic deposition velocity (MV(d)) and assessment of equilibrium time with ambient PM(10) concentrations.
Main Results:
- Birch trees exhibited higher MV(d) (approx. 5 cm(-1)) compared to lime trees (approx. 2 cm(-1)).
- Leaf magnetic remanence reached equilibrium with ambient PM(10) after approximately 6 dry days.
- Consistent MV(d) values were observed within species, allowing for robust inter-calibration.
Conclusions:
- Biomagnetic monitoring on tree leaves is a viable method for obtaining high spatial resolution PM(10) exposure data.
- This technique enables robust inter-calibration across species, paving the way for unprecedented spatial resolution in PM(10) biomonitoring.
